Guillermo Ortiz-Jiménez

38 papers A* 9A 1Misc 2Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging. ICLR Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2025	A	`conf`	On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark. AISTATS Jaiden Fairoze, Guillermo Ortiz-Jiménez, Mel Vecerík, Somesh Jha, Sven Gowal
2025	J	`jnl`	On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark. CoRR Jaiden Fairoze, Guillermo Ortiz-Jiménez, Mel Vecerík, Somesh Jha, Sven Gowal
2025	J	`jnl`	SynthID-Image: Image watermarking at internet scale. CoRR Sven Gowal, Rudy Bunel, Florian Stimberg, David Stutz, Guillermo Ortiz-Jiménez, Christina Kouridi, Mel Vecerík, Jamie Hayes, Sylvestre-Alvise Rebuffi, Paul Bernard, Chris Gamble, Miklós Z. Horváth, Fabian Kaczmarczyck, Alex Kaskasoli, Aleksandar Petrov, Ilia Shumailov, Meghana Thotakuri, Olivia Wiles, Jessica Yung, Zahra Ahmed, Victor Martin, Simon Rosen, Christopher Savcak, Armin Senoner, Nidhi Vyas, Pushmeet Kohli
2024	J	`jnl`	LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging. CoRR Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2024	A*	`conf`	Localizing Task Information for Improved Model Merging and Compression. ICML Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2024	J	`jnl`	Localizing Task Information for Improved Model Merging and Compression. CoRR Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard
2024	A*	`conf`	Pi-DUAL: Using privileged information to distinguish clean from noisy labels. ICML Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard
2024	J	`jnl`	UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. CoRR Ilia Shumailov, Jamie Hayes, Eleni Triantafillou, Guillermo Ortiz-Jiménez, Nicolas Papernot, Matthew Jagielski, Itay Yona, Heidi Howard, Eugene Bagdasaryan
2023	J	`jnl`	Catastrophic overfitting can be induced with discriminative non-robust features. Trans. Mach. Learn. Res. Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr
2023	J	`jnl`	Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels. CoRR Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard
2023	A*	`conf`	Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. NeurIPS Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
2023	J	`jnl`	Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. CoRR Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
2023	J	`jnl`	When does Privileged Information Explain Away Label Noise? CoRR Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander D'Amour, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou
2023	A*	`conf`	When does Privileged information Explain Away Label Noise? ICML Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou
2022	A*	`conf`	A Structured Dictionary Perspective on Implicit Neural Representations. CVPR Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard
2022	J	`jnl`	Catastrophic overfitting is a bug but also a feature. CoRR Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr
2022	J	`jnl`	On the benefits of knowledge distillation for adversarial robustness. CoRR Javier Maroto, Guillermo Ortiz-Jiménez, Pascal Frossard
2022	—	`conf`	PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. ECCV (25) Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2021	J	`jnl`	A Structured Dictionary Perspective on Implicit Neural Representations. CoRR Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard
2021	J	`jnl`	A neural anisotropic view of underspecification in deep learning. CoRR Guillermo Ortiz-Jiménez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2021	J	`jnl`	Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness. Proc. IEEE Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2021	J	`jnl`	PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2021	A*	`conf`	What can linearized neural networks actually say about generalization? NeurIPS Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2021	J	`jnl`	What can linearized neural networks actually say about generalization? CoRR Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	Misc	`conf`	Forward-Backward Splitting for Optimal Transport Based Problems. ICASSP Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard
2020	A*	`conf`	Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	J	`jnl`	Hold me tight! Influence of discriminative features on deep network boundaries. CoRR Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	A*	`conf`	Neural Anisotropy Directions. NeurIPS Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	J	`jnl`	Neural Anisotropy Directions. CoRR Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	Misc	`conf`	On The Choice of Graph Neural Network Architectures. ICASSP Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard
2020	J	`jnl`	Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness. CoRR Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2019	J	`jnl`	CDOT: Continuous Domain Adaptation using Optimal Transport. CoRR Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard
2019	J	`jnl`	On the choice of graph neural network architectures. CoRR Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard
2019	J	`jnl`	Sparse Sampling for Inverse Problems With Tensors. IEEE Trans. Signal Process. Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
2018	—	`conf`	Sampling and Reconstruction of Signals on Product Graphs. GlobalSIP Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
2018	J	`jnl`	Sampling and Reconstruction of Signals on Product Graphs. CoRR Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus
2018	J	`jnl`	Sparse Sampling for Inverse Problems with Tensors. CoRR Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus